File Content Extraction 25.1
Filter SDK C++ Programming Guide

# License Information

Your license key controls whether you have the full version of the File Content Extraction SDK, or a trial version. It also determines whether the following advanced features are enabled:

- Advanced character set detection with the character set detection library (`kvlangdetect`).

- Advanced document readers:

  - Microsoft Outlook Personal Folders (PST) readers (`pstsr`, `pstnsr`, and `pstxsr`)

  - Lotus Notes database (NSF) reader (`nsfsr`)

  - Mailbox (MBX) reader (`mbxsr`)

- Processing of documents protected by Microsoft RMS encryption.

- Optical Character Recognition (OCR) to attempt to filter text that might be visible in raster image files.

If you obtain a new license key from OpenText, you must update the licensing information that you pass to File Content Extraction. See Pass License Information to File Content Extraction.

## Enable Advanced Document Readers

Advanced readers require an appropriate license key.

To enable the MBX reader in an existing installation, you must also change the parameter `233=eml` to `233=mbx` in the `formats.ini` configuration file.

## Pass License Information to File Content Extraction

You must provide your license information to File Content Extraction through the API.

If you have an evaluation version of File Content Extraction and purchase a full version of the SDK, or you are adding a document reader (for example, the PST reader), you must update the license information that you pass in.

To provide license information through the API

- In the C++ API, provide license information when you start a new session (see the constructor for the `Session` class).

Copyright 1997-2024 Open Text
Version 25.1 | Last updated January 2025

Send documentation feedback

Close

Send documentation feedback

To send feedback using your default email client, open an email window.

Otherwise, send your feedback and the information below to MFI-swpdl.idoldocsfeedback@opentext.com.

We appreciate your feedback!

Product: File Content Extraction 25.1

Topic Title: License Information